Web-based Decision Support System using C4.5 decision tree algorithm

Author

Govindaraju, Rajesri ; Mahardhika, Dipta

Author_Institution

Ind. Syst. & Techno-Econ. Res. Group, Bandung Inst. of Technol., Bandung, Indonesia

fYear

2011

fDate

17-18 Dec. 2011

Firstpage

395

Lastpage

400

Abstract

This paper explains C4.5 decision tree-based DSS. To help the process of C4.5, entropy-based multi interval discretization model is used for finding cut-off points on a numerical predictor variable. The design includes all the components of DSS, i.e. database, models, knowledge, and dialogue. The DSS consists of three modules namely learning modules, exploration, and applications. Next, the design was implemented in a web-based computer application with training data in csv format as an input. This DSS model is a generic model that can be used on any decision analysis requiring C4.5.

Keywords

Internet; data analysis; decision support systems; decision trees; entropy; C4.5 decision tree algorithm; C4.5 decision tree-based DSS; DSS model; Web-based computer application; Web-based decision support system; application modules; csv format; cut-off points; decision analysis; entropy-based multi interval discretization model; exploration modules; learning modules; numerical predictor variable; training data; Algorithm design and analysis; Classification algorithms; Databases; Decision support systems; Decision trees; Entropy; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on

Conference_Location

Jakarta

Print_ISBN

978-1-4577-1688-1

Type

conf

Filename

6140804